Random symmetric matrices are almost surely non-singular
概率论
2007-05-23 v1
摘要
Let denote a random symmetric by matrix, whose upper diagonal entries are i.i.d. Bernoulli random variables (which take values 0 and 1 with probability 1/2). We prove that is non-singular with probability for any fixed . The proof uses a quadratic version of Littlewood-Offord type results concerning the concentration functions of random variables and can be extended for more general models of random matrices.
引用
@article{arxiv.math/0505156,
title = {Random symmetric matrices are almost surely non-singular},
author = {Kevin Costello and Terence Tao and Van Vu},
journal= {arXiv preprint arXiv:math/0505156},
year = {2007}
}
备注
16 pages, no figures, submitted, Duke Math J